Pregledni rad
MINING BIG DATA FOR SUSTAINABLE WATER MANAGEMENT
Zana Pekmez
orcid.org/0000-0002-7397-0054
; University of Sarajevo Faculty of Economics, Bosnia & Herzegovina
Sažetak
The power of advanced analytics is substantial. Massive scales of big, structured and unstructured data relieve unthinkable patterns and help us redefine economic models, solve operational inefficiencies and optimize costs. The water utilities could substantially benefit from the data available from new digital assets and smart technologies. Many are facing damaged and failing infrastructure and lack of financial resources for makeovers. However, Industry 4.0 and Digitalization open new fronts and bring new assets such as real-time monitoring of critical systems via IoT and sensors, advanced metering and predictive analytics to improve customer billing, remote data collection systems at pumping stations and water storage facilities and many more. The power of “digital twin”, as a virtual replica of a physical asset, and ways of enriching the traditional data sources with open source data increase considerably the available intelligence for more sophisticated correlation, linkages and insights. This study reviews the core values of big data, advanced analytics, smart technologies and its application in water resources management and it gives concrete recommendation how to accelerate the adoption of use of Big Data by leveraging on technology and innovation.
Ključne riječi
Big Data Analytics; Water Resources; Smart technologies
Hrčak ID:
236773
URI
Datum izdavanja:
10.4.2020.
Posjeta: 1.124 *